Nonparametric methods for image segmentation using information theory and curve evolution

  title={Nonparametric methods for image segmentation using information theory and curve evolution},
  author={Junmo Kim and John W. Fisher and Anthony J. Yezzi and M{\"u}jdat Çetin and Alan S. Willsky},
In this paper, we present a novel information theoretic approach to image segmentation. We cast the segmentation problem as the maximization of the mutual information between the region labels and the image pixel intensities, subject to a constraint on the total length of the region boundaries. We assume that the probability densities associated with the image pixel intensities within each region are completely unknown a priori, and we formulate the problem based on nonparametric density… CONTINUE READING
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